Overview
Quantum computing and machine-learning hardware — around 86 companies from pure-play quantum labs to the chipmakers enabling them, equal-weighted.
Top Holdings
| Ticker | Holding | Weight |
|---|---|---|
| IONQ | IonQ Inc. | 2.4% |
| RGTI | Rigetti Computing | 2.3% |
| QBTS | D-Wave Quantum | 2.2% |
| QUBT | Quantum Computing Inc. | 1.9% |
| MU | Micron Technology | 1.6% |
| AMD | Advanced Micro Devices | 1.5% |
| NVDA | NVIDIA Corp. | 1.5% |
| MRVL | Marvell Technology | 1.4% |
| 6702 | Fujitsu Ltd. | 1.4% |
| HON | Honeywell Intl | 1.3% |
Fund Details
Investment Thesis
Quantum is where AI was in 2015 — commercially early, scientifically real, and violently re-rating on every breakthrough headline — and QTUM's equal-weighted basket is the sane way to own a field where picking the winning qubit architecture is impossible. The +47% year rode the sector's arrival in mainstream portfolios; the volatility is genuinely extreme.
Who It's For
Early-theme investors buying the decade-out computing transition as a basket rather than a lottery ticket. Satellite-sized only — this is frontier tech with frontier drawdowns.
10-Year History
| Year | Close | % Chg |
|---|---|---|
| 2016 | -- | -- |
| 2017 | -- | -- |
| 2018 | $18.72 | -- |
| 2019 | $26.01 | +38.9% |
| 2020 | $38.76 | +49.0% |
| 2021 | $48.84 | +26.0% |
| 2022 | $33.70 | -31.0% |
| 2023 | $47.18 | +40.0% |
| 2024 | $70.77 | +50.0% |
| 2025 | $92.00 | +30.0% |
| Year | Yield |
|---|---|
| 2016 | -- |
| 2017 | -- |
| 2018 | 0.60% |
| 2019 | 0.50% |
| 2020 | 0.30% |
| 2021 | 0.20% |
| 2022 | 0.40% |
| 2023 | 0.50% |
| 2024 | 0.60% |
| 2025 | 0.70% |
| Year | AUM | % Chg |
|---|---|---|
| 2016 | -- | -- |
| 2017 | -- | -- |
| 2018 | $0.0B | -- |
| 2019 | $0.1B | +Infinity% |
| 2020 | $0.1B | +0.0% |
| 2021 | $0.2B | +100.0% |
| 2022 | $0.1B | -50.0% |
| 2023 | $0.3B | +200.0% |
| 2024 | $1.5B | +400.0% |
| 2025 | $4B | +166.7% |
Price history from exchange data. Dividend yields from reported distributions; some earlier years are derived from total-return vs price-return data or are ETFHub estimates. AUM history is an ETFHub estimate modelled from current assets and annual returns (fund flows not reflected) and may differ from official fund records. Data as of October 2026.
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